examineDeResults: Examine differentially expression results

In kueckelj/SPATA: A Toolbox for Spatial Gene Expression Analysis

Examine differentially expression results

Description

Visualizes the number of differentially expressed genes and/or the distribution of logFC-values per cluster.

Usage

examineDeResults(de_df, clrp = "milo", return = "both", binwidth = 10, ...)

Arguments

de_df	A data.frame containing information about differentially expressed genes. Must contain the variables: gene Character. The differentially expressed genes. cluster Character. The clusters (or experimental groups) across which the analysis was performed. avg_logFC Numeric. The average log-fold change to which the belonging gene was differentially expressed.. p_val Numeric. The p-values. p_val_adj Numeric. The adjusted p-values. Hint: Use the resulting data.frame of SPATA::findDE() or it's descendants as input.
return	Character value. Denotes what to plot. One of 'both', 'n_genes' and 'd_logFC'
...	Additional parameters given to ggplot2::facet_wrap()

Value

Returns a ggplot-object that can be additionally customized according to the rules of the ggplot2-framework.

kueckelj/SPATA documentation built on March 22, 2022, 9:59 p.m.